Document Detail


Impact of season of food frequency questionnaire administration on dietary reporting.
MedLine Citation:
PMID:  15519900     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: Foods consumed near the time of food frequency questionnaire (FFQ) administration may prime the memory, such that FFQ responses emphasize recently consumed foods. This study investigates the effect of season of FFQ administration, a proxy for the recent diet, on FFQ responses. METHODS: FFQ data from 74,958 Shanghai Women's Health Study (SWHS) subjects were compared with FFQ data from these subjects by season of FFQ administration (i.e., winter, spring, summer, and fall). All analyses were adjusted for age, BMI, and energy intake. Furthermore, quintile categories derived from all study subjects were compared with categories derived from the distribution of subjects recruited in the same season. RESULTS: Compared with the study group as a whole, subjects completing the FFQ in winter reported higher intakes of meat (2.1%), vegetable (3.9%), fish (3.1%), and soy foods (4.1%), but lower fruit (- 3.9%) intake. Subjects completing the FFQ in summer reported lower than average meat (- 2.0%), vegetable (- 3.2%), fish (- 2.3%), and soy food (- 4.6%) intakes, but greater fruit intake (0.9%). Completion of the FFQ in spring and fall usually led to intermediate differences from the group average, although fruit intake was 5.9% higher among subjects completing the FFQ in the fall. Variations across macronutrients and micronutrients by season of FFQ administration were smaller. If seasonal FFQ reporting is ignored, up to 13% of subjects would be classified to a different diet intake exposure category. However, reclassification was always to an adjacent category. CONCLUSIONS: FFQ responses varied with season of FFQ administration, consistent with theory that current diet intake influences reporting of habitual past diet intake. However, season of FFQ administration did not alter dietary exposure category assignments sufficiently to effect interpretation of most epidemiologic studies.
Authors:
Jay H Fowke; David Schlundt; Yang Gong; Fan Jin; Xiao-Ou Shu; Wanqing Wen; Da-Ke Liu; Yu-Tang Gao; Wei Zheng
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Annals of epidemiology     Volume:  14     ISSN:  1047-2797     ISO Abbreviation:  Ann Epidemiol     Publication Date:  2004 Nov 
Date Detail:
Created Date:  2004-11-02     Completed Date:  2005-02-08     Revised Date:  2008-06-23    
Medline Journal Info:
Nlm Unique ID:  9100013     Medline TA:  Ann Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  778-85     Citation Subset:  IM    
Affiliation:
Vanderbilt University Medical Center, Nashville, TN 37232-8300, USA. jay.fowke@vanderbilt.edu
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Bias (Epidemiology)*
Body Mass Index
China
Diet*
Diet Surveys
Educational Status
Female
Humans
Mental Recall
Middle Aged
Questionnaires
Seasons
Women's Health*
Grant Support
ID/Acronym/Agency:
R01CA70867/CA/NCI NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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